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README.md
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README.md

PIP Installation Instructions (Recommended)


Complete Set

  • CPU (Non GPU) : pip install -U monk-cpu
  • CUDA 9.0          : pip install -U monk-cuda90
  • CUDA 9.0          : pip install -U monk-cuda92
  • CUDA 10.0        : pip install -U monk-cuda100
  • CUDA 10.1        : pip install -U monk-cuda101
  • CUDA 10.2        : pip install -U monk-cuda102
  • Google Colab   : pip install -U monk-colab
  • Kaggle              : pip install -U monk-kaggle


Only Mxnet-Gluon Backend

  • CPU (Non GPU) : pip install -U monk-gluon-cpu
  • CUDA 9.0          : pip install -U monk-gluon-cuda90
  • CUDA 9.0          : pip install -U monk-gluon-cuda92
  • CUDA 10.0        : pip install -U monk-gluon-cuda100
  • CUDA 10.1        : pip install -U monk-gluon-cuda101
  • CUDA 10.2        : pip install -U monk-gluon-cuda102
  • Google Colab   : pip install -U monk-gluon-colab
  • Kaggle              : pip install -U monk-gluon-kaggle


Only Pytorch Backend

  • CPU (Non GPU) : pip install -U monk-pytorch-cpu
  • CUDA 9.0          : pip install -U monk-pytorch-cuda90
  • CUDA 9.0          : pip install -U monk-pytorch-cuda92
  • CUDA 10.0        : pip install -U monk-pytorch-cuda100
  • CUDA 10.1        : pip install -U monk-pytorch-cuda101
  • CUDA 10.2        : pip install -U monk-pytorch-cuda102
  • Google Colab   : pip install -U monk-pytorch-colab
  • Kaggle              : pip install -U monk-pytorch-kaggle


Only Keras Backend

  • CPU (Non GPU) : pip install -U monk-keras-cpu
  • CUDA 9.0          : pip install -U monk-keras-cuda90
  • CUDA 9.0          : pip install -U monk-keras-cuda92
  • CUDA 10.0        : pip install -U monk-keras-cuda100
  • CUDA 10.1        : pip install -U monk-keras-cuda101
  • CUDA 10.2        : pip install -U monk-keras-cuda102
  • Google Colab   : pip install -U monk-keras-colab
  • Kaggle              : pip install -U monk-keras-kaggle


Run the following python snippets to check installation (Optional)

# Unit tests for gluon backend
from monk.gluon_tests import run_unit_tests
run_unit_tests()
# Unit tests for pytorch backend
from monk.pytorch_tests import run_unit_tests
run_unit_tests()
# Unit tests for keras backend
from monk.keras_tests import run_unit_tests
run_unit_tests()
# System functionality tests for gluon backend
from monk.gluon_tests import run_functionality_tests
run_functionality_tests()
# System functionality tests for pytorch backend
from monk.pytorch_tests import run_functionality_tests
run_functionality_tests()
# System functionality tests for keras backend
from monk.keras_tests import run_functionality_tests
run_functionality_tests()



Manually installing the library (Not Recommended)

Note:

    pip commands mentioned below are to be run from parent directory monk_v1/installation. 

    If you are running it from a  different directory, accordingly adjust the relative path to requirements files

Linux

  • CPU:

    pip install -r Linux/requirements_cpu.txt

  • CPU with tensorflow 2.0 support:

    pip install -r Linux/requirements_tensorflow2_cpu.txt

  • GPU with Cuda-9:

    pip install -r Linux/requirements_cu9.txt

  • GPU with Cuda-10:

    pip install -r Linux/requirements_cu10.txt

  • GPU with tensorflow 2.0 support:

    pip install -r Linux/requirements_tensorflow2_gpu.txt

MacOS

  • CPU:

    pip install -r Mac/requirements_cpu_macos.txt

  • GPU: (Not available)

Windows

  • CPU:

    pip install -r Windows/requirements_cpu_windows.txt
pip install torch==1.2.0+cpu torchvision==0.4.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

  • GPU:

     (In development)

Miscellaneous

- Kaggle

      pip install -r Misc/requirements_kaggle.txt
      

- Colab

      pip install -r Misc/requirements_colab.txt